Flow control method for flow self-adaption modification of Iub port

Abstract

The invention provides a flow control method for flow self-adaption modification of an Iub port. In the method, after a requested caching amount factor (Tbeta) is set and adjusted in advance and a Node B receives a flow control event. The method is implemented through the following steps of: A, recording the type of the current flow control event, the caching amount and the air interface rate (RatePQ_out) of a user PQ queue; B, judging whether the Tbeta is adjusted according to the type of the current flow control event, the current caching amount and the previous caching amount or not, if yes, executing the step C, otherwise, directly recording the Tbeta value and executing the step D; C, adjusting and recording the Tbeta value; and D, with regard to a normal flow control event, utilizing the recorded Tbeta value and RatePQ_out value to calculate the caching amount requested by the current flow control from an RNC (Radio Network Controller) by the Node B, and executing the flow control process. The method can be used for improving the accuracy of data amount requested by the flow control, reducing the flow control errors and reducing the caching jitter and the trigger frequency of upper and lower caching limits.

Description

technical field [0001] The invention relates to the field of mobile communication, in particular to a flow control method for self-adaptive correction of Iub port flow. Background technique [0002] With the evolution of mobile communication technology from High Speed ​​Downlink Packet Access (HSDPA) technology to High Speed ​​Packet Access Plus (HSPA+) technology, data scheduling in HSPA+ technology is still performed on the base station (Node B) side, from the radio network controller (RNC ) sent by the dedicated media access control layer protocol data unit (MAC-d PDU) needs to be buffered at the Node B side, waiting for the enhanced high-speed media access control (MAC-ehs) scheduling. Due to the complexity of the air interface and the uncertainty of the mobile channel, the actual rate of the user on the air interface is affected by the performance of the scheduling algorithm, and it also directly affects the cache of user data on the NodeB side. Since the cache on the N...

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Problems solved by technology

[0021] In addition, one disadvantage of smoothing filtering is that the statistical rate itself has a lag, which can only indicate the air interface rate of the queue in the previous period, and the current air interface rate accounts for a relatively small proportion of the rate after smoothing filtering. According to the air interface rate in the previous period It is assumed that the air interface rate will not change, but in fact it is basically impossible to keep the air interface rate unchanged, and the air interface rate will change more or less. Therefore, it will lead to requests from the RNC The amount of data is more or less different from the amount of data actually required by the air interface

[0022] The above two reasons will lead to frequent triggering of the upper and lower limits, and severe user cache jitter

The more times the upper limit is reached, it is likely to lead to more emergency scheduling, or even packet loss over time, and the more the lower limit, the more time the queue is cached too low, which seriously affects the execution effect of the scheduling algorithm and reduces the system throughput.

[0023] In addition, once the upper and lower limits of the buffer are triggered, the flow control operation of the upper and lower limits of the buffer will be triggered. The upper limit of the buffer will generally stop requesting data from the RNC, while the lower limit of the buffer will generally increase the amount of data requested from the RNC. At this time, If the amount of data required by the lower limit flow control is too much, the cache will quickly reach the upper limit, which will lead to more severe cache jitter, which will cause greater difficulties for subsequent flow control operations and trigger more cache upper and lower limits.

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